BIPROB: UN MÉTODO PARA OBTENER UN BIPLOT ROBUSTO

Authors

  • Sergio Hernández González Facultad de Estadística e Informática, Universidad Veracruzana, Xalapa, Veracruz
  • Ma. Purificación Galindo Villardón Departamento de Estadística, Universidad de Salamanca, Salamanca

Keywords:

singular values decomposition, principal component analysis, outliers, regressions

Abstract

Biplot classic is based on the singular values decomposition (SVD) of the matrix of data . Conventionally it is constructed from obtained markers of an Principal Component Analysis (PCA) using . This solution is susceptible to the presence of outliers in X . In this work a method to obtain a Robust Biplot (Hernández, 2005), by means of alternate regressions, is presented, with which the potential influence of outliers in is solved

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Published

2023-06-10

How to Cite

Hernández González, S., & Galindo Villardón, M. P. (2023). BIPROB: UN MÉTODO PARA OBTENER UN BIPLOT ROBUSTO. Investigación Operacional, 27(3). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6391

Issue

Vol. 27 No. 3 (2006): Investigacion Operacional

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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